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Data Scientist/Analyst - Data Modelling & BI | Emirati Talent

Majid Al Futtaim
Dubai, UAE
Full-time
Entry
Onsite
Discovered 5 days ago
PythonPandasNumPySQL/MySQLTableauPower BI

Full Job Posting

Role summary

Provide data engineering, analytics, and dashboard development support to Majid Al Futtaim Global Solutions.

Design and optimize pipelines, create Tableau and Power BI dashboards, and deliver analytics and machine learning solutions for data-driven decisions and AI innovation.

Role profile

  • Design and optimize scalable Python and SQL/MySQL pipelines to provide high-quality datasets.
  • Build and maintain Tableau and Power BI dashboards with governed KPIs and actionable insights.
  • Use exploratory analysis and statistical assessments to identify trends and support operational and strategic decisions.
  • Develop and evaluate predictive analytics and machine learning models, including with tools such as scikit-learn.
  • Create and deploy lightweight analytics applications and proof-of-concept solutions using Streamlit.
  • Support AI, NLP, and Generative AI experimentation, prototyping, and validation.
  • Document data models, dashboards, and code repositories and follow data quality, governance, and version-control standards.
  • Deliver reporting-ready datasets, adopted dashboards, reusable analytical assets, and at least one prototype with documented outcomes and recommendations.

Requirements

  • Proficiency in Python, Pandas, NumPy, and SQL/MySQL for data management, analysis, modelling, and reporting.
  • Strong expertise in Tableau, Power BI, and advanced Excel, including defining and monitoring KPIs.
  • Knowledge of exploratory data analysis, statistics, and machine learning, including feature engineering, model development, evaluation, and optimization.
  • Experience developing and deploying analytics solutions and prototypes using Streamlit; exposure to Hugging Face and NLP frameworks.
  • Familiarity with Git/GitHub, Jupyter/Colab, VS Code, and PyCharm.
  • Strong analytical thinking, problem-solving, stakeholder communication, attention to detail, and a continuous learning mindset.
  • Relevant quantitative degree and practical experience through internships or academic projects.

What we offer

  • The employer describes a friendly environment and a diverse workforce of more than 45,000 colleagues.

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